Zobrazeno 1 - 10
of 3 691
pro vyhledávání: '"SUZUKI, Atsushi"'
Autor:
Nguyen, Christopher, Nguyen, William, Suzuki, Atsushi, Oku, Daisuke, Phan, Hong An, Dinh, Sang, Nguyen, Zooey, Ha, Anh, Raghavan, Shruti, Vo, Huy, Nguyen, Thang, Nguyen, Lan, Hirayama, Yoshikuni
Large Language Models (LLMs) have demonstrated the potential to address some issues within the semiconductor industry. However, they are often general-purpose models that lack the specialized knowledge needed to tackle the unique challenges of this s
Externí odkaz:
http://arxiv.org/abs/2411.13802
The normalized maximum likelihood (NML) code length is widely used as a model selection criterion based on the minimum description length principle, where the model with the shortest NML code length is selected. A common method to calculate the NML c
Externí odkaz:
http://arxiv.org/abs/2409.08387
Mobile robots equipped with multiple light detection and ranging (LiDARs) and capable of recognizing their surroundings are increasing due to the minitualization and cost reduction of LiDAR. This paper proposes a target-less extrinsic calibration met
Externí odkaz:
http://arxiv.org/abs/2403.14161
In a recent paper [{\em F. Bernal, J. Mor\'on-Vidal and J.A. Acebr\'on, Comp.$\&$ Math. App. 146:294-308 (2023)}] an hybrid supercomputing algorithm for elliptic equations has been put forward. The idea is that the interfacial nodal solutions solve a
Externí odkaz:
http://arxiv.org/abs/2311.08946
Recent studies have experimentally shown that we can achieve in non-Euclidean metric space effective and efficient graph embedding, which aims to obtain the vertices' representations reflecting the graph's structure in the metric space. Specifically,
Externí odkaz:
http://arxiv.org/abs/2305.07971
Autor:
Suzuki, Atsushi
A new hybrid algorithm for LDU-factorization for large sparse matrix combining iterative solver, which can keep the same accuracy as the classical factorization, is proposed. The last Schur complement will be generated by iterative solver for multipl
Externí odkaz:
http://arxiv.org/abs/2208.01907
Autor:
Katsuki, Takayuki, Miyaguchi, Kohei, Koseki, Akira, Iwamori, Toshiya, Yanagiya, Ryosuke, Suzuki, Atsushi
We address the problem of predicting when a disease will develop, i.e., medical event time (MET), from a patient's electronic health record (EHR). The MET of non-communicable diseases like diabetes is highly correlated to cumulative health conditions
Externí odkaz:
http://arxiv.org/abs/2204.13451
Autor:
Shimoda, Masafumi, Tanaka, Yoshiaki, Ohe, Takashi, Ishiguro, Takashi, Suzuki, Atsushi, Kurahara, Yu, Shimatani, Yasuaki, Matsushima, Hidekazu, Kusano, Kenji, Ohta, Hiroki, Yanagisawa, Satoru, Kozu, Yuki, Yui, Takaya, Igarashi, Shunya, Kimizuka, Yoshifumi, Honda, Kojiro, Otani, Sakiko, Chiba, Shigeki, Xu, Dongjie, Mitsui, Miho, Waseda, Yuko, Ishii, Haruyuki
Publikováno v:
In Respiratory Investigation November 2024 62(6):963-969
Autor:
Suzuki, Atsushi, Oku, Takeo
Publikováno v:
In Journal of Physics and Chemistry of Solids November 2024 194
Publikováno v:
In Future Generation Computer Systems November 2024 160:359-374